Senior Python Developer

6 - 10 years

0 Lacs

Posted:1 day ago| Platform: Shine logo

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Job Type

Full Time

Job Description

You are a Senior Python Developer with expertise in AI/ML frameworks, data engineering, and scalable application development. You will be working on high-velocity AI/ML projects involving predictive analytics, recommendation engines, and generative AI platforms. Your responsibilities include: - Design & Develop: Building robust Python-based applications for AI/ML, data processing, and automation. - Model Integration: Implementing, fine-tuning, and deploying ML/DL models using TensorFlow, PyTorch, Scikit-learn, Hugging Face. - Data Engineering: Working with structured/unstructured datasets, building pipelines (ETL, real-time streaming), and optimizing data processing. - Fast Iterations: Delivering MVPs and Proof-of-Concepts quickly, balancing speed with scalability. - Cloud Deployment: Implementing and deploying ML workloads on AWS, Azure, or GCP with Docker/Kubernetes. - Collaboration: Working closely with data scientists, frontend engineers (React), and product owners to deliver end-to-end AI solutions. - Automation & Performance: Optimizing ML workflows, implementing MLOps (CI/CD for ML), and automating retraining pipelines. - Mentorship: Guiding junior developers, sharing best practices, and enforcing coding and testing standards. In terms of skills and experience, you should have: - 6 to 9 years of experience in Python development, with at least 5+ years in AI/ML projects. - Strong expertise in Python, FastAPI/Django for API and microservices. - Proficiency in ML/DL frameworks like TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers. - Experience with data engineering tools such as Pandas, Spark, Airflow, Kafka. - Hands-on experience with cloud-native ML deployments (AWS Sagemaker, Azure ML, GCP Vertex AI). - Familiarity with MLOps pipelines like Kubeflow, MLflow, DVC, CI/CD. - Knowledge of SQL & NoSQL databases like Postgres, MongoDB, Redis. - Strong understanding of the AI/ML lifecycle - from model training to monitoring in production. - Exposure to generative AI, NLP, or computer vision is a plus. Your skills should include: - Ability to deliver under tight timelines without compromising quality. - Strong problem-solving and debugging mindset. - Excellent client-facing and communication skills. - Leadership ability in a cross-functional, fast-paced environment. If you join us, you will get to work on cutting-edge AI, ML, and generative AI projects for global clients. You will have the opportunity for fast-track career growth in a rapidly scaling IT services company and to shape AI/ML delivery frameworks for enterprise clients. Additionally, competitive compensation along with performance bonuses are offered.,

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